首页|Researchers from Indian Institute of Technology Guwahati Discuss Findings in Mac hine Learning (A Physics-informed Machine Learning Model of Dissimilar Friction Stir Welding To Tailor Residual Stress Using Coupled Eulerian and Lagrangian App roach)
Researchers from Indian Institute of Technology Guwahati Discuss Findings in Mac hine Learning (A Physics-informed Machine Learning Model of Dissimilar Friction Stir Welding To Tailor Residual Stress Using Coupled Eulerian and Lagrangian App roach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Assam, India, by NewsRx journa lists, research stated, “The friction stir welding (FSW) process is not free fro m deleterious residual stress that can be considered as a defect whose intensity varies with the process parameters. The mechanical properties of a joint are ve ry sensitive to residual stress for dissimilar FSW due to the non-uniform heat f low and material properties.”
AssamIndiaAsiaCyborgsEmerging Te chnologiesMachine LearningIndian Institute of Technology Guwahati
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